Digital Commons Network^™

Semantic Graph Reconciliation Using Functional Fingerprinting, Rishabh Singhal, Vijai Kalyan

Defensive Publications Series

Comparing versions of graph-based workflows can present challenges, as methods relying on volatile identifiers may interpret a node rename as separate deletion and addition operations, while other structural comparison techniques can be computationally expensive. Systems and methods are described for semantic comparison using a multi-pass reconciliation algorithm that employs functional fingerprinting. This process can involve generating a content-based hash value for each node after programmatically excluding non-semantic data, such as unique identifiers and graphical coordinates. By comparing these fingerprints, a system can identify nodes that were renamed. This approach can facilitate a linear-time semantic reconciliation of workflow graphs, providing a …

The Dynamic Schema Generation With Error-Triggered Renegotiation For Agent-Tool Binding, Nicolas Zimmermann, Isaac Leimgruber

Defensive Publications Series

Some methods for binding autonomous agents to external tools can rely on static interface schemas, which may be inefficient, for example, by consuming large context windows, and can be brittle to changes in a tool's application programming interface. A system is described where an agent can transmit a semantic intent describing a desired task outcome. In response, one or more tool providers can dynamically generate a minimal, task-specific interface specification tailored to that intent. The system can also feature an error-triggered renegotiation mechanism, allowing an agent to report an execution failure, which prompts the provider to generate and resubmit a …

System-Level Generation Of Dynamic Information Overlays For Media Content, Harsh Rajotiya, Dev Daftari

Defensive Publications Series

Accessing supplemental information while viewing digital media may involve disengaging from the primary content to use separate applications or devices. This document describes a system level framework for generating dynamic informational overlays that can operate independently of specific media applications. The system may utilize a generative artificial intelligence model to interpret user queries, such as voice commands, and orchestrate the retrieval of data from multiple sources. The model can then dynamically design and specify a custom graphical user interface element, such as a chart or table, which can be rendered as an overlay on a main viewing screen (e.g., a …

Identify User Navigation Patterns And Digital Experience Deficiencies Using Probabilistic Sequence Modeling And Llm-Driven Synthetic Personas, Hp Inc

Defensive Publications Series

Understanding how users navigate complex digital platforms is essential for improving conversion, usability, and overall experience. Raw clickstream data generated by web platforms is highly granular, sparse, and noisy, which makes direct URL-level analysis unreliable and computationally unstable. In addition, traditional analytics approaches rely on aggregate metrics or predefined funnels that fail to capture sequential dependencies and heterogeneous user intent. This disclosure describes a method for identifying navigation inefficiencies, behavioral drop-off patterns, and experience deficiencies by combining probabilistic modeling of user navigation sequences with AI-driven synthetic personas. The method models user sessions as discrete-time Markov processes over a reduced semantic …

Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij

Defensive Publications Series

A method for implementing evidence-based guidance for a data science team using generative artificial intelligence under uncertainty is provided. The method includes reviewing existing evidence on generative AI in knowledge work, including empirical literature on productivity effects, cognition and skill formation, and human factors research on automation complacency and cognitive offloading. The method includes evaluating the existing evidence across parallel considerations and deriving a plurality of principles from the existing evidence. The principles include an accountability principle stating that accountability for work cannot be self-certified, an aggregation principle directing to read more but not think less, a writing reservation principle …

Generative Synthesis Of Context-Aware Media Recaps And Alternative Narratives, Dev Daftari, Akash Verma

Defensive Publications Series

Systems and methods can use generative artificial intelligence to synthesize personalized media content. For example, when a user returns to a series, a system can generate a dynamic recap designed to be spoiler-free based on a user's last-viewed point, for instance, by retrieving relevant plot information from a media knowledge graph. The technology could also generate alternative narrative scenes based on user prompts, for example, by using system guardrails to promote stylistic consistency with the source material. These techniques may provide personalized user interactions, potentially improving viewer re-engagement with serialized content and extending interaction with media franchises within a media …

A Generative System For Real-Time Audio Dubbing With Voice And Emotion Transfer, Dev Daftari, Harsh Rajotiya

Defensive Publications Series

Systems and methods are disclosed for real-time media localization that may address potential scalability and fidelity limitations of some conventional approaches. A technical solution may involve a multimodal generative pipeline, which can be implemented on a hybrid edge-cloud architecture. For example, a system can separate dialogue from background audio on a client device (e.g., a smartphone, smart television, personal computer, wearable device, or augmented reality glasses). The isolated dialogue may then be processed to transcribe speech to text and to extract paralinguistic features, such as vocal timbre and emotional tone. This information may be processed by a large language model …

Dynamically Generating Immersive Environments For Extended Reality From 2d Media, Dev Daftari, Akash Verma

Defensive Publications Series

Watching two-dimensional (2D) media in extended reality can involve static virtual environments that may not be contextually linked to the content being viewed, which can reduce immersion. Systems and techniques are described for dynamically generating a 360-degree virtual environment from a 2D media stream. A system may analyze a buffer of video frames using computer vision methods to extract scene context, including three-dimensional geometry and lighting information. This extracted data can then be used as a seed for a generative artificial intelligence model to perform spatial outpainting, extending the original 2D scene into a volumetric environment. This process can transform …

Natural Language Navigation Of Media Via Generative Ai And A Multimodal Index, Dev Daftari, Akash Verma

Defensive Publications Series

Finding specific moments in media can be challenging, as certain methods like timeline scrubbing or keyword searches may not align with a user's descriptive memory of a scene. A system can facilitate media navigation through natural language queries. For example, a system may create a time-stamped, multimodal index of a media asset by analyzing its visual, auditory, and textual content. When a user provides a descriptive query, a generative artificial intelligence model can semantically evaluate the request against the index to identify a corresponding media segment and its timecode. The system could then provide the timecode to a media player …

Cascaded Liability-To-Feedstock Resource Recovery Architectures: Geothermal-Desalination-Membrane-Mineral Stacks, Cryogenic Storage-Air Separation-Datacenter Cascades, And Parallel-Topology Hybrid Storage, Alexander Smith

Defensive Publications Series

Disclosed are cascaded resource-recovery architectures organized by a common design rule: each processing stage is sequenced so that the waste liability of the preceding stage becomes the feedstock of the following stage. Three families are disclosed in enabling detail.

(A) A geothermal-desalination-membrane-mineral stack in which geothermal heat drives power generation via an Organic Rankine Cycle, waste heat drives or preheats desalination, and desalination brine -- already filtered and cooled by the desalination pretreatment train -- supplies a pressure-retarded osmosis salinity-gradient power stage. Geothermal brine separately supplies mineral recovery including direct lithium extraction, silica, zinc, manganese, barium and strontium sulfate. The …

Visual Indicators For Voice Access Application Windows And User Interface Components, Katherine Nelle Dektar, Mariah Sigourney Moon, Qian Yan

Defensive Publications Series

This publication describes a new accessibility feature for devices like smartphones, tablets, and computers that makes hands-free navigation and voice control much easier to use. When a person uses spoken audio input or speech commands to operate their device while multiple windows are open, it can be confusing to know exactly which app or screen they are controlling. To solve this, the device automatically figures out which application windows are unoccluded by other application windows on the screen and draws a bright, colorful border (like an accessibility focus ring) around them. This primary visual indicator shows the user exactly where …

Extremophile-Inspired Biomimetics Potential Analysis, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking, Gemini and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This defensive disclosure provides enabling embodiments that translate extremophile mechanisms (thermostability, cryo-activity, anhydrobiosis, halotolerance, radiotolerance, barophily) into materials, devices, processes, control algorithms, interoperable …

Handling Delayed Esim Transfer Via Sm-Ds Push Notification, Chen Xu, Jack Yu, Amruth Ramachandran

Defensive Publications Series

This publication describes an alternative framework for managing delayed embedded Subscriber Identity Module (eSIM) transfers on mobile devices that avoids needing a carrier’s Entitlement Configuration Server (ECS) to manage cloud messaging tokens. During a delayed transfer, a carrier’s Subscription Management Data Preparation (SM-DP+) server notifies a Subscription Management Discovery Service (SM-DS) server when an eSIM profile becomes available. The SM-DS server then triggers a cloud messaging push notification to the mobile device’s Local Profile Assistant (LPA). To ensure a seamless user experience the LPA hides the raw push notification from the user interface. Upon receiving this hidden push notification, the …

Iva‑Ecs‑Plus Max Exhaust Polishing & Conditioning Module, Michael Victor Caldwell Mr.

Defensive Publications Series

The IVA‑ECS‑PLUS MAX is an open‑hardware, bolt‑on exhaust‑polishing module designed to attach directly to the outlet of existing industrial pollution‑control systems—including baghouses, ESPs, cyclones, wet scrubbers, and marine exhaust scrubbers—to provide additional particulate reduction beyond what primary systems achieve. The system integrates a multi‑stage architecture consisting of a J‑groove pre‑swirl intake, dual‑band acoustic agglomeration chamber, CFD‑optimized vortex core with adjustable cone, high‑coverage wet scrubber array, multi‑stage demister (vane pack + mesh pad), and an optional polishing stage using either a mini‑electrostatic precipitator or ceramic microfilter. This combined sequence targets ultra‑fine particulate matter (PM2.5 and PM0.1), aerosols, droplets, and haze‑forming micro‑pollutants …

Zero-Enrollment Target Speaker Extraction, Zhi Li, Xuelin Huang

Defensive Publications Series

This disclosure describes a new framework for isolating a specific person's voice from background noise, often called Target Speaker Extraction (TSE), speech isolation, voice separation, audio unmixing, voice filtering,  target audio filtering, speaker segregation, acoustic filtering, vocal isolation, target voice retrieval, or speech decoupling for devices equipped with artificial intelligence. Traditional voice recognition systems require users to manually record their voice in a quiet room, which is frustrating and often fails to recognize natural changes in a person's voice like sickness or morning voice. Rather than requiring the user to perform this manual process, the new framework described herein enables …

System For Mitigating Electronic Pickpocketing In Contactless Payment Cards, Mahendra Yadav

Defensive Publications Series

The present disclosure provides hardware solutions for mitigating electronic pickpocketing in contactless payment cards. A smartcard includes an antenna shorting circuit placed across antenna terminals and driven by OR control logic so any proximity or pocket sensor can automatically short the antenna loop, and a series antenna clipping switch placed in the antenna feed and gated by AND control logic requiring deliberate dual pad touch to enable contactless operation. The designs use ultra-low-power capacitive touch sensors, RF-grade semiconductor switches or bilateral analog switches, and CMOS logic to preserve card form factor and contact functionality. The designs prioritize passive or energy …

Innovation Potentials To Scale Green Finance Globally, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking, Gemini 3 Reasoning and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) entering the prior art under EPC Art. 54(2), French IPC Art. L 611-11, 35 U.S.C. §102(a), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢) and Japanese Patent Act Art. 29(1) (闘旧避). It discloses 90 enabling embodiments (1–90) for verifiable green finance: real-time MRV and ZK oracles, programmable green bonds, IoT/satellite-triggered loans and parametric insurance, carbon and nature tokenization, digital twins, private portfolio optimisation, material provenance (cement, plastics, textiles, H2, batteries), biodiversity indices and …

The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This disclosure details technical systems, methods, and architectures spanning ethical matching, socio-ecological scoring, closed-loop UX, a!ective VR, safety/consent, intergenerational models, community optimization, data …

Feasibility Study And Market Analysis – Innovations For Compact Fusion Reactors (Arc, Sparc, St-E1), Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It covers four compact-fusion bottlenecks (vapor-shielding thermal protection, active control of HTS REBCO magnets, irradiation-driven self-healing structural materials, and chiral tritium-breeding blankets) and …

Execution-Mode-Dependent Enforcement Of Version-Bound Consent For Delegated Recurring Automation, Alexander Bering

Defensive Publications Series

Disclosed is a species-level arrangement in which one participant's consent to run another participant's shared, versioned automation artefact is bound to the artefact version consented to, and in which the strength with which that binding is enforced depends on how the run was initiated. For machine-initiated recurring runs, the executing component re-checks the recorded version mark itself, unconditionally, before every run; a mismatch does not fail the individual run but moves the standing arrangement into a durable, named parked state in which it never fires again until a human acts. For human-initiated runs, the same mismatch is surfaced only against …

A Method For Multi-Modal Tensor Distillation And Non-Perturbative Phase Retrieval Inside Decentralized Anamorphic Substrates, Christopher L. Eckes

Defensive Publications Series

When decentralized edge agents implement Continuous Online Local Plasticity via an Anamorphic Memory Lattice (AML), the local elastic weight layer (\(\Phi _{t}\)) experiences rapid structural saturation under high-velocity multi-modal data streams. This saturation triggers localized impedance mismatches, where the model can no longer distinguish between environmental noise and high-fidelity operational tool telemetry, degrading the system back into an chaotic, ungrounded state.

This paper introduces a standalone technical method for Multi-Modal Tensor Distillation and Non-Perturbative Phase Retrieval inside decentralized anamorphic substrates. By implementing a phase-locked spatial-harmonic filter directly over the elastic parameter layer, this framework allows the model to continuously compress …

A Method For Continuous Local Plasticity And Catastrophic Forgetting Mitigation Via Anamorphic Memory Lattices And Dynamic Weight Partitioning, Christopher L. Eckes

Defensive Publications Series

Current autoregressive transformer scaling laws dictate that foundation model weights must remain static post-training to prevent catastrophic forgetting and alignment drift. Consequently, modern edge agents are restricted to volatile, stateless context manipulations (e.g., Retrieval-Augmented Generation), erasing environmental experiences at every context flush and halting true progression toward decentralized Artificial General Intelligence (AGI).

This paper introduces an architectural blueprint for Continuous Online Local Plasticity utilizing an Anamorphic Memory Lattice (AML) paired with Dynamic Weight Partitioning (DWP). By structurally separating a model's network topology into a frozen global baseline core (\(W_{\text{global}}\)) and an elastic, orthogonal local substrate (\(W_{\text{local}}\)), decentralized agents can permanently …

A Method For Algorithmic Entropy Mitigation And Context Window Equilibrium In High-Dimensional Transformer Architectures, Christopher L. Eckes

Defensive Publications Series

High-dimensional Autoregressive Transformer architectures scale linearly or quadratically in computational, thermodynamic, and financial overhead relative to context window saturation. In continuous multi-turn token processing, models suffer from "Prompt Gravity"—a compounding mathematical distortion of the Softmax attention matrix driven by localized token accumulation. This distortion shifts in-context token weights, resulting in structural degradation, diminished operational return on investment (ROI), and severe "sandbox sycophancy" where factual grounding collapses into localized linguistic coherence.

This paper introduces a decentralized, low-entropy architecture designed to decouple structural grounding from active token processing. By utilizing localized, high-entropy open-weight nodes (e.g., legacy Llama architectures) to simulate an offline, …

A Channel-Agnostic, Phase-Gated Checkpoint Architecture Coordinating An Autonomous Multi-Agent Content Pipeline Across A Stateful Conversational Interface And A Stateless Asynchronous Interface, Vipul Panday, Manjulika Bajpai

Defensive Publications Series

This disclosure documents the architecture of a production system that delivers a multi-step, AI-agent-driven content-production workflow to end users through two fundamentally different interaction surfaces at once: a real-time, stateful conversational interface (a chat bot, which inherently remembers where a conversation left off) and a fully stateless, asynchronous interface (individual links delivered by email, each a fresh, session-less HTTP request with no memory of any prior interaction). The system is architected so that a single, centrally persisted phase field is the sole source of truth for where a given user's in-flight workflow currently stands, with the chat interface consuming that …

System And Method For Ai-Generation And Personalized Music Playback In Social Venue Environments, Eric Zavesky, Miguel A. De La Lama

Defensive Publications Series

A system and method for generating and playing personalized music in a venue setting from multi-modal patron input. The system comprises a multi-modal input interface that accepts musical preferences, narrative text, voice, visual content, and social media links through QR-code-accessed mobile web, kiosk, and voice channels, fusing said inputs into a unified generation request. An AI music generation engine employs a progressive generation pipeline that begins generating preliminary musical content during input collection and refines iteratively as additional input arrives, producing complete songs with lyrics, melody, arrangement, and production. A venue audio integration module queues and plays generated songs through …

Tamper-Evident, Non-Downgradeable Binding Of Advisory Header Metadata To Ciphertext In Client-Side-Encrypted Document Envelopes Via Aes-Gcm Additional Authenticated Data, David Lee Brown

Defensive Publications Series

An encrypted-document envelope carries advisory metadata — a threshold/quorum requirement, a lifetime policy, a distribution policy,   and a lineage pointer — alongside ciphertext. Conventionally this metadata sits in a plaintext or merely hashed header, where a   third party can strip it, alter it, or downgrade the format to disable the behavior it governs, because the metadata is not bound to   the ciphertext itself. An unkeyed header hash does not solve this: an attacker who edits the header simply recomputes the hash.

This disclosure describes binding that metadata to the ciphertext as AES-GCM Additional Authenticated Data (AAD), computed over a   deterministic …

Generation Of Synthetic Training Data Using Randomization In Camera Sensor Response And Image Signal Processing Pipeline, Ahmed Abdelkader, Wen-Sheng Chu

Defensive Publications Series

Successful deployment of machine learning models for computer vision on consumer devices requires generalization across multiple devices with varying camera sensor characteristics and image signal processing (ISP) tuning profiles. To ensure model performance, expensive data collection campaigns need to be executed to capture device-specific data for various devices to obtain training datasets to train such machine learning models. This disclosure describes techniques to generate training data to train a machine learning model for deployment across multiple target devices. Variations in camera sensor and ISP tuning profiles are simulated using randomized RAW transformations to produce different color sensitivities and by randomizing …

Steganography-Based Anti-Abuse Mechanism For Media Provenance, Bryan Jeffery Moles, Brian Jeremiah Murray

Defensive Publications Series

Mechanisms for media provenance are implemented by having a device cryptographically sign a bundle of assertions/claims about the media of interest. These assertions/claims reveal information about the media file, such as whether the media came from the camera of the device, whether it was processed in some way, etc. The trustworthiness of media provenance assertions by such mechanisms is reliant on the signing device being uncompromised. This disclosure describes the use of steganographic techniques to prevent scalable abuse of media signing mechanisms through the use of compromised devices. Per the techniques, the signing mechanism is implemented to inspect media content …

Device Platform-Aware, Closed-Loop Resource Scheduling And Handover Management In A Cellular Network, Fernando Selma, Francis Bourque, Hung Tsang, Jibing Wang, Alex Gorokhov

Defensive Publications Series

Cellular network architectures lack visibility to device-level or application-level states and cross-device awareness. Consequently, network scheduling, resource allocation, and handover are purely reactive and inefficient. This document describes techniques for closed-loop platform-driven resource allocation and proactive mobility management. Per the techniques described herein, a platform coordination server that operates independently of the RAN of the 3GPP cellular network receives UE-level telemetry data that includes application-level demand, location and velocity, and sends an aggregated traffic (or demand) forecast to the network for each cell. The platform coordination server converts a confirmed network resources scheduling plan prepared by a gNB to application …

Non-Disclosing Detection Of Material Evidence Gaps And Hidden Conflicts In Permission-Restricted Enterprise Rag, Niveditha Balakrishna Bhat

Defensive Publications Series

Enterprise retrieval-augmented generation (RAG) systems commonly enforce document-level or content-level permissions before presenting retrieved evidence to a user. Correct enforcement of those permissions, however, does not guarantee that the evidence remaining visible to a particular role is materially sufficient to answer a question safely. A role may retain access to plausible, apparently authoritative evidence while newer rules, material exceptions, or contradictory evidence remain inaccessible. In such cases, the system can produce an incomplete or misleading answer without violating any access-control rule.

This publication describes a role-conditioned evidence-auditing mechanism for detecting such failures before deployment. For a representative question and role, …